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Data Scientist II - Performance Marketing

Tripadvisor

Full-time
Portugal
performance marketing
python
big data
sql
machine learning
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Marketing jobs

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.

 

The Tripadvisor Data Science/Machine Learning Team is looking for an experienced individual to join a dynamic and fast-paced team to help support our Performance Marketing efforts. As an Data Scientist II, you will apply your modeling skills to a wide variety of problem spaces including, but not limited to bidding for online advertising, customer modeling, experimental design, revenue optimization, attribution, recommendations. You will have access to the newest development tools and huge data sets. You will deploy your solutions online and be able to observe the impact of your work in real time as you help the company grow.

We are looking for someone who is independent, curious, and motivated, who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where you’ll collaborate with a broad multidisciplinary team of data scientists, analysts, software engineers, and product managers. You’ll be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business. 

 

Location: Please note, this position will be either office, hybrid or remote-based within Portugal. 

 

About Data Science at Tripadvisor:

Tripadvisor is the web's leading travel information site. At Tripadvisor, the DS/ML Team creates systems that influence the travel decisions of millions of people per day. We apply cutting edge machine learning techniques to a wide variety of areas, including recommenders, online advertising, vision, text processing, and natural language processing. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!

 

What You'll Do

  • Use machine learning models to solve a variety of core business problems across performance marketing.

  • Seek out new opportunities to apply data science and machine learning in the performance marketing space across all channels (e.g., Web, email, paid marketing)

  • Automate ETL pipelines

  • Prototype, evaluate, deploy and maintain new models in production

  • Design AB tests and analyze their results

  • Discover new ways to analyze and interpret the data

  • Communicate progress and interpretation of experimental results to technical and business stakeholders

 

Skills & Experience

  • PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred (or masters with 2+ years of practical experience)

  • Knowledge of AB test design and analysis

  • Strong background in machine learning and statistics

  • Solid foundation on data structures and algorithms

  • Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)

  • Ability to interpret and write complex SQL queries

  • Experience with big data technologies, such as Hive and Spark

  • Track record of leading the deployment and maintenance of models

 

 

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at recruitment@tripadvisor.com 

 

 

 

#LI-GW1

 

About the job

Full-time
Portugal
5 Applicants
Posted 1 month ago
performance marketing
python
big data
sql
machine learning
Enhancv advertisement

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Data Scientist II - Performance Marketing

Tripadvisor
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Marketing jobs

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.

 

The Tripadvisor Data Science/Machine Learning Team is looking for an experienced individual to join a dynamic and fast-paced team to help support our Performance Marketing efforts. As an Data Scientist II, you will apply your modeling skills to a wide variety of problem spaces including, but not limited to bidding for online advertising, customer modeling, experimental design, revenue optimization, attribution, recommendations. You will have access to the newest development tools and huge data sets. You will deploy your solutions online and be able to observe the impact of your work in real time as you help the company grow.

We are looking for someone who is independent, curious, and motivated, who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where you’ll collaborate with a broad multidisciplinary team of data scientists, analysts, software engineers, and product managers. You’ll be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business. 

 

Location: Please note, this position will be either office, hybrid or remote-based within Portugal. 

 

About Data Science at Tripadvisor:

Tripadvisor is the web's leading travel information site. At Tripadvisor, the DS/ML Team creates systems that influence the travel decisions of millions of people per day. We apply cutting edge machine learning techniques to a wide variety of areas, including recommenders, online advertising, vision, text processing, and natural language processing. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!

 

What You'll Do

  • Use machine learning models to solve a variety of core business problems across performance marketing.

  • Seek out new opportunities to apply data science and machine learning in the performance marketing space across all channels (e.g., Web, email, paid marketing)

  • Automate ETL pipelines

  • Prototype, evaluate, deploy and maintain new models in production

  • Design AB tests and analyze their results

  • Discover new ways to analyze and interpret the data

  • Communicate progress and interpretation of experimental results to technical and business stakeholders

 

Skills & Experience

  • PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred (or masters with 2+ years of practical experience)

  • Knowledge of AB test design and analysis

  • Strong background in machine learning and statistics

  • Solid foundation on data structures and algorithms

  • Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)

  • Ability to interpret and write complex SQL queries

  • Experience with big data technologies, such as Hive and Spark

  • Track record of leading the deployment and maintenance of models

 

 

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at recruitment@tripadvisor.com 

 

 

 

#LI-GW1

 

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